67 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Aarhus University
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environment with state-of-the-art infrastructure and a strong commitment to scientific excellence. More information: https://mbg.au.dk What we offer We offer: The opportunity to contribute to an internationally
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at http://www.envs.au.dk/en/. The department is located at Risø Campus in Roskilde 35 kilometers west of Copenhagen. The selected candidate will be affiliated with the Environmental Social Science and
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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evolutionary genetics, genomics, population genetics, bioinformatics. Extensive experience in bioinformatic analyses, coding and development of pipelines, handling of large genomic data sets, experience with
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LC-MS platforms available at Aarhus University. Collaborate with both university researchers, clinical researchers and two involved companies. Writing well-documented, reproducible code and
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++, or similar) and a keen interest in writing clean, well‑documented and reusable scientific code. Experience in building Big Data databases (e.g. SQL), managing large datasets, and querying / structuring in
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background in physics and medical physics, and you should have proven experience (through published papers) with the above topics. A high level of coding competences will be required. If your PhD is not yet